Application of CT Image Scanning Technology Based on Iris Algorithm in Clinical Diagnosis of Patients with Hepatobiliary Stones

Abstract

Objective: To investigate the value of multi-slice spiral CT in the diagnosis of extrahepatic bile duct stones using Iris algorithm. Methods: 66 cases of extrahepatic bile duct stones underwent plain and enhanced multiline spiral CT. Observe the density, size, location\n and number of stones during the plain scan. According to the venous phase enhanced scan, the extrahepatic bile duct wall ≥2 mm was used as the thickening criterion to evaluate the stone density, size, number, and composition ratio of the site and its relationship with tube wall thickening.\n Results: A total of 57 cases of stones of different densities were found on CT. Nine cases of stones of equal density were not identified. Among the 56 cases with thickened wall, 87.50% (49/56) were concentric and 12.50% (7/56) were eccentric. The wall thickening occurred 62.50% (35/56)\n below the stone; 17.86% (10/56) was located on the level or above the stone, and 8.93% (5/56) was above the stone. 6 cases (6/56) (10.71%) showed extensive tube wall thickening, all caused by multiple stones. Conclusion: In the study of extrahepatic bile duct stones using the Iris algorithm,\n it was found that most concentric circular tube wall thickening occurred on or below the stone level. When plain CT scan does not show clear bile duct stones, and this phenomenon appears in the portal vein phase of enhanced scan, the possibility of stones should be considered.